Javier López
ABSTRACT
In this paper, the use of evolutionary metaheuristics for the optimization of emergency medical services (EMS) applied to a real-world case in Argentina is analyzed. The problem requires the simultaneous optimization of two opposing objectives -- reducing service delay time and minimizing the use of third-party medical vehicle. Therefore, a multiobjective technique was implemented. Several multiobjective techniques that had good results reported in the literature were assessed. The techniques that presented the best indicators in this case were selected. Also, a disturbance operator that improves the results found by the assessed algorithms was developed. The objectives were achieved. A process to dispatch medical vehicles to home medical services based on evolutionary computing was successfully carried out, maximizing the use of the available installed capacity, improving response time rates and using a smaller amount of resources.
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Index Terms
- Evolutionary multiobjective optimization for emergency medical services
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